← 返回 Skills 市场
Wechat Report
作者
Abigale-cyber
· GitHub ↗
· v1.0.0
· MIT-0
91
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install wechat-report
功能描述
Generate a structured comparison report for multiple WeChat Official Account articles under one topic. Use this when the user wants several公众号文章 collected in...
安全使用建议
Before installing/running this skill: 1) Expect to install Python deps (requirements.txt), Node packages, and Playwright (npm + npx playwright install). The registry metadata omitted these runtime requirements — confirm you want to run those installers. 2) The skill fetches arbitrary web pages and launches a headless browser that executes page JS; run it in an isolated workspace or VM if you are cautious. 3) Do not point the skill at a profileDir containing sensitive cookies or other accounts unless you understand the privacy implications — the browser session can expose logged-in state to pages. 4) Review requirements.txt and any npm packages before installing. 5) The skill will only write local report and JSON files and will not automatically post to Feishu; it may require manual confirmation to sync downstream. If you are uncomfortable with running a headless browser that visits external pages or with the metadata omissions, do not install or run it until those are addressed.
功能分析
Type: OpenClaw Skill
Name: wechat-report
Version: 1.0.0
The wechat-report skill is a legitimate tool designed to aggregate and analyze WeChat Official Account articles. It uses Python's subprocess module to execute local Node.js scripts (collect_engagement.js, fetch_article_html.js) that utilize Playwright for web scraping and metric extraction. The code follows safe practices, such as using yaml.safe_load for frontmatter parsing and list-based subprocess calls to prevent shell injection. All network activity (Bing RSS and WeChat URLs) and file operations are strictly aligned with the stated purpose of generating comparison reports and raw JSON data in the content-production/inbox directory.
能力评估
Purpose & Capability
The skill's stated purpose (collect WeChat articles, extract content and engagement, produce a local report) matches what the code does. However the registry metadata lists no required binaries or environment variables while the runtime and README require Node, npm, Playwright, and Python dependencies — an omission that can mislead users about what will be installed/run.
Instruction Scope
SKILL.md and README describe running the skill on a frontmatter Markdown request file and producing local report files. The implementation performs network queries (Bing RSS and arbitrary web pages) and runs a headless browser (Playwright) which executes page JavaScript. This is expected for extraction, but means fetched pages can run arbitrary JS and trigger network activity from your machine; the skill writes output HTML/JSON under content-production/inbox/ and uses a persistent browser profile directory you supply.
Install Mechanism
There is no automated install spec in the registry. The README instructs manual pip and npm installs and Playwright browser installation (npx playwright install). The code does not download arbitrary binaries from suspicious hosts — it relies on standard package tooling — but the lack of an explicit install spec in the metadata is an incoherence to be aware of.
Credentials
The skill declares no environment variables or credentials (and does not require them explicitly). To surface engagement metrics it relies on a browser profile (Playwright persistent context) which could contain login cookies if you provide one; the skill itself does not request secrets. This is proportionate, but you should not pass profile directories containing unrelated sensitive sessions.
Persistence & Privilege
always is false and the skill does not request persistent inclusion or attempt to modify other skills. It does create/use profile directories and write report files under content-production/inbox/, which is expected and scoped to its purpose.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install wechat-report - 安装完成后，直接呼叫该 Skill 的名称或使用
/wechat-report触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
wechat-report 1.0.0
- Initial release providing structured comparison reports for multiple WeChat Official Account articles under one topic.
- Generates a Markdown report including article metadata, engagement comparison, content structure tables, “爆款写法” tags, title/opening/ending analysis, and writing patterns summary.
- Supports collection of articles via topic or seed URLs, with optional engagement data.
- Output includes both human-readable and raw JSON formats.
- Does not automatically sync to Feishu; sync must be triggered separately by the user.
元数据
常见问题
Wechat Report 是什么？
Generate a structured comparison report for multiple WeChat Official Account articles under one topic. Use this when the user wants several公众号文章 collected in... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 91 次。
如何安装 Wechat Report？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install wechat-report」即可一键安装，无需额外配置。
Wechat Report 是免费的吗？
是的，Wechat Report 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Wechat Report 支持哪些平台？
Wechat Report 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Wechat Report？
由 Abigale-cyber（@abigale-cyber）开发并维护，当前版本 v1.0.0。
推荐 Skills